{"id":"W2784288552","doi":"10.1063/1.5014028","title":"Steel reinforced composite silicone membranes and its integration to microfluidic oxygenators for high performance gas exchange","year":2018,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Materials science; Extracorporeal membrane oxygenation; Oxygenator; Membrane; Membrane oxygenator; Composite material; Polydimethylsiloxane; Composite number; Chemical engineering; Biomedical engineering; Chemistry; Cardiopulmonary bypass; Medicine; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002800885,0.0003156745,0.0003397588,0.0002192665,0.0001743028,0.00007402439,0.0002439016,0.0002025692,0.0000865497],"category_scores_gemma":[0.00003500521,0.0003143604,0.00005620762,0.0002957973,0.00005507398,0.0002609325,0.00007393752,0.0001003284,0.0001594421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000998757,"about_ca_system_score_gemma":0.00002444803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114154,"about_ca_topic_score_gemma":0.000002886175,"domain_scores_codex":[0.9985669,0.0000161585,0.0004417897,0.0003681209,0.0001653426,0.0004417036],"domain_scores_gemma":[0.9991665,0.00005613227,0.00005653054,0.0003062951,0.000172088,0.0002424708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005179432,0.000006874255,0.00009658298,0.0004040627,0.00004427287,0.000001074761,0.000322527,0.00000418287,0.98908,0.0004853915,0.00524408,0.004259214],"study_design_scores_gemma":[0.0005787596,0.0002038224,0.0006473283,0.00008219777,0.00004176344,0.00001367156,0.0000367813,0.009627012,0.9545386,0.00001998612,0.03382955,0.0003804896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987527,0.006161802,0.004039742,0.0001262809,0.0007839177,0.0008473209,0.00007515134,0.0003266917,0.0001121346],"genre_scores_gemma":[0.9973001,0.001084501,0.0004125739,0.0003985127,0.0003179594,0.00008626818,0.00007879449,0.00007936441,0.0002419254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03454131,"threshold_uncertainty_score":0.9999309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692004706765411,"score_gpt":0.2261604837862358,"score_spread":0.2092404367185818,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}